iconSimulates and monitors supply & demand and detects leaks

The distribution of electricity and utilities for production processes within a steelmaking plant relies on a set of complex networks or grids for different resources, each formed by an array of sources, consumers, pipes, metering instruments, and other devices and equipment. In some cases, the piping or cabling for each grid can be as long as 50 km, leading to a real challenge to detect leakages, malfunctions, and misuses of each resource. Moreover, steelmaking sites usually have contracts with electricity, gas, and utilities companies including clauses that require the prediction of consumption demand in the short-term, with tight tolerances. It is challenging to accurately manage and operate so many distribution grids, in some cases more than 100, under ever-changing production conditions and requirements.

Viridis Grids provides real-time monitoring of measurements and real-time detection of abnormal behavior, including possible leaks and instrumentation failures. It provides the automatic reconciliation of measurements in hierarchies, buses, rings, and other setups to identify faulty situations and immediately alert operators. The tool forecasts loads and consumption directly from production plans and order sequences using Automated Machine Learning models inferred from equipment attached to each distribution grid. Predicting and monitoring the demand and supply of a resource is a valuable function of Viridis Grids, enabling tighter planning and governance over energy and utilities. In addition, quickly identifying the occurrence and location of electricity, gas, and fluid leaks, along with instrumentation malfunctions, has been proved to drive significant savings in comparison with the time it takes to manually analyze and identify such leaks.


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